The National Academies Press

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V. Electrical Engineering Programs
Pages 69-88

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From page 69... ... universities in this five-year span. Because some computer scientists receive their doctoral education in electrical engineering departments and by the same token some electrical engineers receive their doctoral degrees in computer science departments, the committee encountered difficulty in identifying program faculty, graduates, and students in the discipline of electrical engineering.2 ~. Read the entire page →
From page 70... ... The programs not evaluated on measure 12 are typically smaller -- in terms of faculty size and graduate student enrollment -- than other electrical engineering programs. Were data on this measure available for all 91 programs, it is likely that the reported mean would be appreciably lower (and that some of the correlations of this measure with others would be higher) Read the entire page →
From page 71... ... To assist the reader in interpreting results of the survey evaluations, estimated standard errors have been computed for mean ratings of the scholarly quality of faculty in 90 electrical engineering programs (and are given in Table 5.1~. For each program the mean rating and an associated "confidence interval" of 1.5 standard errors are illustrated in Figure 5.3 (listed in order of highest to lowest mean rating) Read the entire page →
From page 72... ... California, University of-San Diego 20 21 46 .14 6.5 .79 .21 Electrical Engineering & Computer Science 48 47 49 46 52 56 54 013. California, University of-Santa Barbara 21 33 48 .32 8.3 .72 .00 El ectrical and Computer Engineering 48 50 50 62 36 52 35 014. Read the entire page →
From page 73... ... .09 .13 .09 .11 .09 .12 .08 .08 .13 .08 .08 .10 .07 .08 .07 (11) a06 .07 e07 .07 .08 .06 .07 .07 a07 .07 .07 e08 .08 a08 .08 .06 o10 a06 a08 .10 .07 .14 .09 .14 a07 11 ~ 07 ~ 08 ~ 07 for each measure are reported; on the second line values are reported in standardized form, with mean = 50 and standard deviation = 10. Read the entire page →
From page 74... ... Massachusetts Institute of Technology 80 141 299 .41 5.8 .74 .28 El ectrical Engineering and Computer Science 87 80 95 70 5 8 53 60 040. Massachusetts, University of-Amherst 18 22 43 .17 6.1 .94 .11 Electrical and Computer Engineering 46 47 49 48 55 68 45 * Read the entire page →
From page 76... ... Northwestern University El ectrical Engineering & Computer Sciences 053. Notre Dame, University of El ectrical Engineering 054. Read the entire page →
From page 77... ... 2.8 1.8 0.9 0.6 0.7 .40 22901 28 .10 .09 .10 .07 52 54 44 47 55 58 68 53 55 060. 3.0 1.9 0.9 0.6 0.7 .13 4579 30 .12 .07 .08 .07 55 56 44 46 55 42 46 53 52 NOTE: On the first line of data for every program, raw values for each measure are reported; on the second line values are reported in standardized form, with mean = 50 and standard deviation = 10. Read the entire page →
From page 78... ... Polytech Institute of New York 21 85 56 .13 8.5 .64 .07 El ectrical Engineering and Computer Science 4 8 65 51 44 34 46 42 063. Princeton University 10 42 48 .13 4.4 .78 .36 Electrical Engineering and Computer Science 41 53 50 45 70 56 67 064. Read the entire page →
From page 79... ... 1.7 1.1 1.3 0.4 NA .00 NA O .17 .13 .11 .07 40 39 63 41 34 41 41 080. 3.5 2.0 1.3 0.9 1.6 .19 10517 39 �09 �05 �09 07 60 59 60 56 65 45 53 5 7 60 NOTE: On the on the first line of data for every program, raw values for each measure are reported; second line values are reported in standardized form, with mean = 50 and standard deviation = 10. Read the entire page →
From page 80... ... Wayne State University Electrical and Computer Engineering 089. West Virginia University El ectrical Engineering 090. Read the entire page →
From page 81... ... 3.1 1.9 0.9 0.9 1.6 .25 9919 48 .10 .06 .08 .07 56 56 42 55 64 49 53 61 60 091. 2.9 1.8 0.9 1.0 2.1 .56 2510 17 .11 .06 .10 .07 54 54 43 57 69 67 44 48 48 NOTE: On the first line of data for every program, raw values for each measure are reported; on the second line values are reported in standardized form, with mean = 50 and standard deviation = 10. Read the entire page →
From page 82... ... 82 TABLE 5.2 Summary Statistics Describing Each Program Measure -- Electrical Engineering Number of Programs Standard D E C I L E S = Measure Evaluated Mean Deviation 1 2 3 4 5 6 7 8 9 Program Size 01 Raw Value 91 23 15 12 13 14 16 18 21 24 31 47 Std Value 91 50 10 42 43 44 45 46 48 50 55 65 02 Raw Value 91 32 37 11 13 15 16 21 22 27 33 65 Std Value 91 50 10 44 45 45 46 47 47 49 50 59 03 Raw Value 90 49 55 11 15 19 23 30 36 46 60 116 Std Value 90 50 10 43 44 45 45 47 48 49 52 62 Program Graduates 04 Raw Value 81 .19 .11 .07 .08 .12 .14 .17 .19 .23 .27 .32 Std Value 81 50 10 39 40 44 45 48 50 54 57 62 05 Raw Value 79 6.7 1.1 8.5 7.5 7.2 6.9 6.6 6.2 5.9 5.6 5.3 Std Value 79 50 10 34 43 45 48 51 54 57 59 62 06 Raw Value 81 .70 .13 .50 .57 .63 .66 .70 .74 .77 .81 .89 Std Value 81 50 10 35 40 45 47 50 53 55 58 65 07 Raw Value 81 .17 .11 .04 .07 .10 .12 .15 .17 .22 .25 .33 Std Value 81 50 10 38 41 44 45 48 50 55 57 65 Survey Results 08 Raw Value 90 2.6 .9 1.5 1.8 2.1 2.3 2.4 2.7 3.0 3.2 3.7 Std Value 90 50 10 37 41 44 47 48 51 55 57 63 09 Raw Value 90 1.6 .5 1.0 1.2 1.4 1.5 1.6 1.7 1.8 1.9 2.2 Std Value 90 50 10 37 41 46 48 50 52 54 57 63 10 Raw Value 90 1.1 .2 .8 .8 .9 1.0 1.0 1.1 1.2 1.3 1.3 Std Value 90 50 10 39 39 43 48 48 52 57 61 61 11 Raw Value 90 .7 .4 .3 .4 .5 .6 .6 .7 .8 .9 1.1 Std Value 90 50 10 38 41 44 47 47 50 53 55 61 University Library 12 Raw Value 62 .2 1.0 -1.1 -.6 -.5 -.3 .0 .3 .7 .9 1.7 Std Value 62 50 10 37 42 43 45 48 51 55 57 65 Research Support 13 Raw Value 87 .27 .17 .05 .13 .17 .23 .25 .29 .33 .40 .50 Std Value 87 50 10 37 42 44 48 49 51 54 58 64 14 Raw Value 76 7679 8560 1817 2249 2684 3789 5015 5513 7945 10397 17706 Std Value 76 50 10 43 44 44 45 47 47 50 53 62 Publication Records 15 Raw Value 91 22 24 4 6 9 11 14 19 23 28 50 Std Value 91 50 10 42 43 45 45 47 49 50 53 62 16 Std Value 91 50 10 42 43 45 46 46 48 50 52 63 NOTE: Standardized values reported in the preceding table have been computed from exact values of the mean and standard deviation and not the rounded values reported here. Since the scale used to compute measure 16 is entirely arbitrary, only data in standardized form are reported for this measure. Read the entire page →
From page 83... ... 82 . 84 University Library 12 Research Suppor t 13 14 Publication Records 15 16 .28 .21 .50 .51 .48 .52 .61 .65 .98 NOTE: Since in computing correlation coeff icients program data must be available for both of the measures being correlated, the actual number of programs on which each coef f icient is based var ies. Read the entire page →
From page 84... ... versus number of faculty members (measure 01) -- 90 programs in electrical engineering. Read the entire page →
From page 85... ... -- 90 programs in electrical engineering. Read the entire page →
From page 86... ... 86 TABLE 5.4 Characteristics of Survey Participants in Electrical Engineering Respondents N % Field of Specialization Electrical Engineering 106 75 Electronics 13 9 Other/Unknown 23 16 Faculty Rank Professor 90 63 Associate Professor 34 24 Assistant Professor 18 13 Year of Highest Degree Pre-1950 4 3 1950-59 31 22 1960-69 63 44 Post-1969 42 30 Unknown 2 1 Evaluator Selection Nominated by Institution 128 90 Other 14 10 Survey Form With Faculty Names 129 91 Without Names 13 9 Total Evaluators 142 100 Read the entire page →
From page 87... ... indicate a conf idence interval of it. 5 standard errors around the reported mean (x) Read the entire page →

From page 69...

... universities in this five-year span. Because some computer scientists receive their doctoral education in electrical engineering departments and by the same token some electrical engineers receive their doctoral degrees in computer science departments, the committee encountered difficulty in identifying program faculty, graduates, and students in the discipline of electrical engineering.2 ~.

V. Electrical Engineering Programs Pages 69-88

V. Electrical Engineering Programs
Pages 69-88